利用Fourier-Mellin变换的遥感图像自动配准

Image Registration Based on Fourier-Mellin Transform

  • 摘要: 提出了一种利用Fourier-Mellin变换的遥感图像配准方法。首先,进行Fourier变换求取频谱能量值并进行高通滤波,将滤波后的能量转换成对数极坐标,通过计算互功率谱,运用相位相关技术得到比例系数和旋转角,两幅图像按照得到的参数进行旋转缩放变换得到变换图像;然后,进行相位相关运算得到平移量,作平移变换;最终叠加显示,可以得到配准图像。实验结果表明,该算法具有很好的有效性和可靠性。

     

    Abstract: The purpose of image registration is to remove inconsistencies in geometry between the matched registration image and the reference image,including translation,rotation and scaling transform,which is the necessary premise for image contrast,data fusion,transform analysis and target recognition.A new kind of remote sensing image registration,which is called Fourier-Mellin transform method is put forward.Firstly,Fourier transform is performed to get frequency spectrum power for the reference image and the matched image respectively.Next,high-pass filtering is conducted with regard to their energy spectrum.Then,energy after filtering is converted into log-polar coordinate formation.In the case,mutual power spectrum can be computed adopting phase correlation technique to obtain their rotation angle and scale factor correspondingly.Lastly,transform image may be gotten by these parameters.And again,for reference image,high-pass filtering is performed to reduce background noise and frequency aliasing interference in the transformation process.Then,phase correlation calculation may achieve translation value,another transform image can be gotten through translation transform.Finally,registration image may gain by the two images' superposition.The experimental results show that the algorithm is efficiency and reliability.

     

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